Description
Title: ASSESSMENT OF DATA SENTIMENT PRE-PROCESSING METHODS ASSESSMENT OF REVIEWS
Abstract: The objectives of this study are to examine the effects of sentiment analysis data pre-processing techniques and to identify which of these techniques (and their combinations) work best for both English and an agglutinative language like Turkish. We also attempt to address the research question of whether pre-processing techniques for sentiment analysis differ in any way between agglutinative and non-agglutinative languages. Due to the differences between the two languages in terms of vocabularies, writing styles, and the agglutinative property of the Turkish language, we discover that the performance results for the English reviews are generally higher than those for the Turkish reviews.
Keywords: data pre-processing, feature selection, sentiment analysis, text classification
Paper Quality: SCOPUS / Web of Science Level Research Paper
Paper type: Analysis Based Research Paper
Subject: Computer Science
Writer Experience: 20+ Years
Plagiarism Report: Turnitin Plagiarism Report will be less than 10%
Restriction: Only one author may purchase a single paper. The paper will then indicate that it is out of stock.
What will I get after the purchase?
A turnitin plagiarism report of less than 10% in a pdf file and a full research paper in a word document.
In case you have any questions related to this research paper, please feel free to call/ WhatsApp on +919726999915
Reviews
There are no reviews yet.